Stanford's HomeBody lets GPT-6 Astra run a Unitree G1 humanoid through long household tasks in an unseen kitchen, with no VLA policy
Stanford's Movement Lab (TML) and Caltech released HomeBody around Sept 26, 2026. A frontier model (GPT Astra) directly sequences a Unitree G1 humanoid's composable skills, using persistent spatial memory built from the robot's own exploration (SLAM plus a Real2Sim reconstruction). In a previously unseen kitchen it cleaned up across the room and fetched a remembered object from an underspecified request, without environment-specific training data or any learned vision-language-action (VLA) policy.
Key facts
- Authors: Gio Huh (Caltech), Cayden Gu, Takara E. Truong, C. Karen Liu, Guy Tevet (Stanford, The Movement Lab)
- Model: the project page's architecture diagram names 'GPT Astra'; AI Weekly reports GPT-6 Astra. The model runs remotely and sends skill requests to a laptop that executes them locally
- Five composable skills: navigation, picking, placing, drawer opening, picking from drawers
- Memory: the robot's camera observations, SLAM geometry, joint poses and waypoints ground a Real2Sim reconstruction, so the model can reason about objects it is not currently seeing
- Demos: kitchen cleanup (organizing coffee bags, discarding spoiled cartons) and retrieving medicine from a drawer, including an occluded object
- Code: github.com/Stanford-TML/homebody (repo created Sept 26, 2026). No quantitative success rates were found on the project page
What happened
Most humanoid manipulation systems put a learned VLA policy between the language model and the robot. HomeBody does not. The frontier model plans directly over a small library of reliable skills. It keeps a persistent map and digital twin of the home, built from the robot's own exploration, so it can act on underspecified requests like "get my medicine" by remembering where it saw things.
Why it matters
This is evidence that general frontier models are now good enough at spatial and long-horizon reasoning to act as the "brain" of a humanoid in new homes without task-specific training. The demos are qualitative, from one kitchen, and we found no success rates. Treat it as a capability demo, not a benchmark result.
Changelog
- 2026-10-02: created (from leads queue; Zvi AI #188)
Related events
Sources (3)
- officialHomeBody project page (Stanford TML)
- codeGitHub: Stanford-TML/homebody
- pressAI Weekly: Stanford's HomeBody wires GPT-6 Astra directly to a Unitree G1, skips the VLA layer
id: 2026-09-26-stanford-homebody-astra-humanoid · updated 2026-10-02 · open in the interactive timeline